{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 《零基础财务Python训练营》实操练习题\n",
    "## Day6 《数据可视化》"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**作业说明:**  为了帮助同学们掌握、巩固课程学习内容，并主动结合知识点思考问题逻辑，从而形成编程思维，我们为大家设计了3个不同难度的作业~\n",
    "\n",
    "▶基础题：针对当前章节传授知识点设计的题目，用于考察大家的学习掌握情况，同学们一定要尝试做出来哟~\n",
    "\n",
    "▶思考题：针对当前或近期所学内容设计的题目，用于将多个知识点串联、或是引发对后续学习内容的提前思考。同学们可能无法正确解答，但这些内容都是老师精心设计哒，目的是引发大家对知识点的深入探究~我们会有提示引导同学们思考的方向，相信这些思考会让大家不断提高自主探索的能力。\n",
    "\n",
    "★对于以上说明和作业问题，同学们可以在群里积极参与讨论或向助教老师咨询呦，相信大家只要认真完成作业，一定能够收获满满！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**注意:**  本章节的可视化题目均采用最基本的图形操作代码（题目要求中会给出），主要目的在于引导同学们对图表展示有深入的思考\n",
    "<br>大家也可以根据课上的内容，尝试设置x轴、y轴、title、调节参数、样式等操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.【基础题】 渠道推荐用户数可视化分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.1 数据处理和分析回顾\n",
    "<br>选取四个渠道推荐用户数调查表，按照要求先进行简单的数据处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（1）在python中读取作业中的excel文件，DataFrame的变量名要求为\"data1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#参考答案#\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "data1 = pd.read_excel('./promotion.xlsx')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（2）使用head()函数查看数据情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>渠道A推荐用户数</th>\n",
       "      <th>渠道B推荐用户数</th>\n",
       "      <th>渠道C推荐用户数</th>\n",
       "      <th>渠道D推荐用户数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>938</td>\n",
       "      <td>542</td>\n",
       "      <td>570</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>1423</td>\n",
       "      <td>1067</td>\n",
       "      <td>521</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>1333</td>\n",
       "      <td>166</td>\n",
       "      <td>557</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>1261</td>\n",
       "      <td>258</td>\n",
       "      <td>537</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>1198</td>\n",
       "      <td>805</td>\n",
       "      <td>503</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          时间  渠道A推荐用户数  渠道B推荐用户数  渠道C推荐用户数  渠道D推荐用户数\n",
       "0 2020-01-01       938       542       570       133\n",
       "1 2020-01-02      1423      1067       521       392\n",
       "2 2020-01-03      1333       166       557       344\n",
       "3 2020-01-04      1261       258       537       231\n",
       "4 2020-01-05      1198       805       503       556"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（3）此时我们想截取2020年第一季度的数据进行分析，DataFrame的变量名要求为\"data2\"\n",
    " <br><font color=#3a3947 size=2> 提示：使用iloc[]进行数据获取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>渠道A推荐用户数</th>\n",
       "      <th>渠道B推荐用户数</th>\n",
       "      <th>渠道C推荐用户数</th>\n",
       "      <th>渠道D推荐用户数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>938</td>\n",
       "      <td>542</td>\n",
       "      <td>570</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>1423</td>\n",
       "      <td>1067</td>\n",
       "      <td>521</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>1333</td>\n",
       "      <td>166</td>\n",
       "      <td>557</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>1261</td>\n",
       "      <td>258</td>\n",
       "      <td>537</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>1198</td>\n",
       "      <td>805</td>\n",
       "      <td>503</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>888</td>\n",
       "      <td>671</td>\n",
       "      <td>551</td>\n",
       "      <td>253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>607</td>\n",
       "      <td>182</td>\n",
       "      <td>558</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2020-03-29</td>\n",
       "      <td>1412</td>\n",
       "      <td>618</td>\n",
       "      <td>547</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>959</td>\n",
       "      <td>830</td>\n",
       "      <td>596</td>\n",
       "      <td>551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2020-03-31</td>\n",
       "      <td>1387</td>\n",
       "      <td>212</td>\n",
       "      <td>593</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>91 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           时间  渠道A推荐用户数  渠道B推荐用户数  渠道C推荐用户数  渠道D推荐用户数\n",
       "0  2020-01-01       938       542       570       133\n",
       "1  2020-01-02      1423      1067       521       392\n",
       "2  2020-01-03      1333       166       557       344\n",
       "3  2020-01-04      1261       258       537       231\n",
       "4  2020-01-05      1198       805       503       556\n",
       "..        ...       ...       ...       ...       ...\n",
       "86 2020-03-27       888       671       551       253\n",
       "87 2020-03-28       607       182       558       311\n",
       "88 2020-03-29      1412       618       547       449\n",
       "89 2020-03-30       959       830       596       551\n",
       "90 2020-03-31      1387       212       593       335\n",
       "\n",
       "[91 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#参考答案#\n",
    "# data1.iloc[0:91, :]\n",
    "\n",
    "data2 = data1[(data1['时间'] >= '2020-01-01') & (data1['时间'] < '2020-04-01')]\n",
    "\n",
    "data2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.2 数据可视化\n",
    "<br>按照要求绘制2020年第一季度各渠道推荐用户数的相应图形"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（1）导入Matplotlib库，并进行基本设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#参考答案#\n",
    "\n",
    "#matplotlib导入\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#可视化结果中显示中文\n",
    "#正常显示负号（此案例中可能不需要该语句，但当坐标轴中有负数时，该语句课展示）\n",
    "# windows系统\n",
    "# plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# macos系统\n",
    "plt.rcParams['font.sans-serif'] = ['Songti SC']\n",
    "plt.rcParams['axes.unicode_minus'] = False "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（2）使用data.column.plot(kind='bar ')绘制出渠道A推荐用户数的条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data2['渠道A推荐用户数'].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（3）使用data.column.plot(kind='line ')绘制出渠道B推荐用户数的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data2['渠道B推荐用户数'].plot(kind='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（4）使用data.column.hist() 绘制出渠道C推荐用户数的直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ENgPnddvOSt9LvdZvZHSIa2uz0jMs3fcK4EDgicBxwKeSHMHs9L1Uz88HXldVn07yQkZ7xk9jdnpeARwLnFZVVyY5m9GhneXsdN9Tv8dfVXd1j/cAFzH6Vee7SR4B0D1u+TV4Zi4XsUzfJFkFPBt4cXUHApmRvpfo+SmMjm1+NcntjPq6NsnDmZGeYdnXegNwYY1cBfyc0QW8ZqLvZXpeBVzYbXI+vzisMRM9M+pjQ1Vd2a1fwOg/gt2eZ1Md/En2TbLflmVGe37XM7oExKpus1XAZ7rlS4BTkzwkyeHAkcBVk6161y3Xd5KTgNOBk6vqJ4u+ZOr7Xqbnq6vq4Kqar6p5Rv8Qjq2q7zADPcM2f8YvBk7oxh/F6I3A7zEDfW+j57sY/WcPo95v7ZanvmeA7uf2ziRHdUMnAjfSQ55N+6GehwEXJYFRLx+rqs8nuZrRr74vB+4AXgBQVTck+RSjv8zNwKur6mfDlL5Lluv7Nkbv8K/rnruiql41I30v2fNyG89Iz7D8a70ncG6S64FNwKruN7xZ6Hu5nn8EnJ1kBfA/dJdtn6HXGuA04Lzu9f0G8FJGO+i7Nc+8ZIMkNWaqD/VIknacwS9JjTH4JakxBr8kNcbgl6TGGPyS1BiDX5Ia8385gmtK8fJTYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data2['渠道C推荐用户数'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（5）使用data.column.plot.kde() 绘制出渠道D推荐用户数的密度图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data2['渠道D推荐用户数'].plot(kind='kde')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（6）求出四个渠道分别推荐用户数总和,并绘制出显示各渠道占比的饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 28192 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 36947 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 25512 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 33616 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 29992 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 25143 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 25968 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 28192 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 36947 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 25512 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 33616 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 29992 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 25143 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 25968 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data_sum = data1.sum()\n",
    "plt.pie(data_sum, labels=data_sum.index, autopct='%.2f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（7） 拓展：使用for循环和iloc[]函数在一张图中绘制出四个渠道推荐用户数的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "# data2['渠道A推荐用户数'].plot(kind='line')\n",
    "# data2['渠道B推荐用户数'].plot(kind='line')\n",
    "# data2['渠道C推荐用户数'].plot(kind='line')\n",
    "# data2['渠道D推荐用户数'].plot(kind='line')\n",
    "\n",
    "for i in range(4):\n",
    "    data2.iloc[:, i+1].plot(kind='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=#A64646 size=2> **同学们真棒，看来大家已经掌握数据可视化基本内容啦！**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.【思考题】 上海银行股票数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.1 数据导入和查看"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（1）在python中读取作业中的csv文件，DataFrame的变量名要求为\"data3\",并使用head函数进行数据预览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Adj close</th>\n",
       "      <th>Exchange Rate</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Transaction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021/3/31</td>\n",
       "      <td>8.79</td>\n",
       "      <td>8.82</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.75</td>\n",
       "      <td>8.75</td>\n",
       "      <td>0.3240</td>\n",
       "      <td>44404256</td>\n",
       "      <td>388013111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021/3/30</td>\n",
       "      <td>8.75</td>\n",
       "      <td>8.78</td>\n",
       "      <td>8.70</td>\n",
       "      <td>8.74</td>\n",
       "      <td>8.77</td>\n",
       "      <td>0.1927</td>\n",
       "      <td>26400734</td>\n",
       "      <td>230602730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021/3/29</td>\n",
       "      <td>8.77</td>\n",
       "      <td>8.79</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.66</td>\n",
       "      <td>0.3619</td>\n",
       "      <td>49587936</td>\n",
       "      <td>431956026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021/3/26</td>\n",
       "      <td>8.66</td>\n",
       "      <td>8.68</td>\n",
       "      <td>8.54</td>\n",
       "      <td>8.58</td>\n",
       "      <td>8.57</td>\n",
       "      <td>0.1995</td>\n",
       "      <td>27341910</td>\n",
       "      <td>235435272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021/3/25</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.69</td>\n",
       "      <td>8.51</td>\n",
       "      <td>8.60</td>\n",
       "      <td>8.64</td>\n",
       "      <td>0.1940</td>\n",
       "      <td>26584837</td>\n",
       "      <td>227865109</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  Close  High   Low  Open  Adj close  Exchange Rate    Volume  \\\n",
       "0  2021/3/31   8.79  8.82  8.64  8.75       8.75         0.3240  44404256   \n",
       "1  2021/3/30   8.75  8.78  8.70  8.74       8.77         0.1927  26400734   \n",
       "2  2021/3/29   8.77  8.79  8.57  8.64       8.66         0.3619  49587936   \n",
       "3  2021/3/26   8.66  8.68  8.54  8.58       8.57         0.1995  27341910   \n",
       "4  2021/3/25   8.57  8.69  8.51  8.60       8.64         0.1940  26584837   \n",
       "\n",
       "   Transaction  \n",
       "0    388013111  \n",
       "1    230602730  \n",
       "2    431956026  \n",
       "3    235435272  \n",
       "4    227865109  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data3 = pd.read_csv('./SHbank.csv')\n",
    "\n",
    "data3.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（2）导入相关数据库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#参考答案#\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.2 数据可视化展示\n",
    "<br>该可视化展示同第一题中的操作，不过这里会有更进一步的处理和思考呦"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "拓展：将数据的索引列重置为时间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Adj close</th>\n",
       "      <th>Exchange Rate</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Transaction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>8.79</td>\n",
       "      <td>8.82</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.75</td>\n",
       "      <td>8.75</td>\n",
       "      <td>0.3240</td>\n",
       "      <td>44404256</td>\n",
       "      <td>388013111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-03-30</td>\n",
       "      <td>8.75</td>\n",
       "      <td>8.78</td>\n",
       "      <td>8.70</td>\n",
       "      <td>8.74</td>\n",
       "      <td>8.77</td>\n",
       "      <td>0.1927</td>\n",
       "      <td>26400734</td>\n",
       "      <td>230602730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>8.77</td>\n",
       "      <td>8.79</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.66</td>\n",
       "      <td>0.3619</td>\n",
       "      <td>49587936</td>\n",
       "      <td>431956026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>8.66</td>\n",
       "      <td>8.68</td>\n",
       "      <td>8.54</td>\n",
       "      <td>8.58</td>\n",
       "      <td>8.57</td>\n",
       "      <td>0.1995</td>\n",
       "      <td>27341910</td>\n",
       "      <td>235435272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-03-25</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.69</td>\n",
       "      <td>8.51</td>\n",
       "      <td>8.60</td>\n",
       "      <td>8.64</td>\n",
       "      <td>0.1940</td>\n",
       "      <td>26584837</td>\n",
       "      <td>227865109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>23.24</td>\n",
       "      <td>23.30</td>\n",
       "      <td>23.08</td>\n",
       "      <td>23.12</td>\n",
       "      <td>23.16</td>\n",
       "      <td>2.0287</td>\n",
       "      <td>12181330</td>\n",
       "      <td>283000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>23.16</td>\n",
       "      <td>23.56</td>\n",
       "      <td>23.12</td>\n",
       "      <td>23.45</td>\n",
       "      <td>23.50</td>\n",
       "      <td>3.4872</td>\n",
       "      <td>20938854</td>\n",
       "      <td>488000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>23.50</td>\n",
       "      <td>23.76</td>\n",
       "      <td>23.47</td>\n",
       "      <td>23.74</td>\n",
       "      <td>23.72</td>\n",
       "      <td>2.9977</td>\n",
       "      <td>17999621</td>\n",
       "      <td>424000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>23.72</td>\n",
       "      <td>23.80</td>\n",
       "      <td>23.55</td>\n",
       "      <td>23.59</td>\n",
       "      <td>23.59</td>\n",
       "      <td>2.9528</td>\n",
       "      <td>17730203</td>\n",
       "      <td>420000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1031</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>23.59</td>\n",
       "      <td>23.78</td>\n",
       "      <td>23.31</td>\n",
       "      <td>23.33</td>\n",
       "      <td>23.28</td>\n",
       "      <td>3.4383</td>\n",
       "      <td>20644985</td>\n",
       "      <td>487000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1032 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date  Close   High    Low   Open  Adj close  Exchange Rate  \\\n",
       "0    2021-03-31   8.79   8.82   8.64   8.75       8.75         0.3240   \n",
       "1    2021-03-30   8.75   8.78   8.70   8.74       8.77         0.1927   \n",
       "2    2021-03-29   8.77   8.79   8.57   8.64       8.66         0.3619   \n",
       "3    2021-03-26   8.66   8.68   8.54   8.58       8.57         0.1995   \n",
       "4    2021-03-25   8.57   8.69   8.51   8.60       8.64         0.1940   \n",
       "...         ...    ...    ...    ...    ...        ...            ...   \n",
       "1027 2017-01-09  23.24  23.30  23.08  23.12      23.16         2.0287   \n",
       "1028 2017-01-06  23.16  23.56  23.12  23.45      23.50         3.4872   \n",
       "1029 2017-01-05  23.50  23.76  23.47  23.74      23.72         2.9977   \n",
       "1030 2017-01-04  23.72  23.80  23.55  23.59      23.59         2.9528   \n",
       "1031 2017-01-03  23.59  23.78  23.31  23.33      23.28         3.4383   \n",
       "\n",
       "        Volume  Transaction  \n",
       "0     44404256    388013111  \n",
       "1     26400734    230602730  \n",
       "2     49587936    431956026  \n",
       "3     27341910    235435272  \n",
       "4     26584837    227865109  \n",
       "...        ...          ...  \n",
       "1027  12181330    283000000  \n",
       "1028  20938854    488000000  \n",
       "1029  17999621    424000000  \n",
       "1030  17730203    420000000  \n",
       "1031  20644985    487000000  \n",
       "\n",
       "[1032 rows x 9 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#处理“Date”序列，转化为标准的时间格式\n",
    "data3['Date'] = pd.to_datetime(data3['Date'],format='%Y-%m-%d')\n",
    "\n",
    "data3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（1）将转换后的Date设为新的索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#参考答案#\n",
    "\n",
    "data3.set_index('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Adj close</th>\n",
       "      <th>Exchange Rate</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Transaction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-03-31</th>\n",
       "      <td>8.79</td>\n",
       "      <td>8.82</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.75</td>\n",
       "      <td>8.75</td>\n",
       "      <td>0.3240</td>\n",
       "      <td>44404256</td>\n",
       "      <td>388013111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-30</th>\n",
       "      <td>8.75</td>\n",
       "      <td>8.78</td>\n",
       "      <td>8.70</td>\n",
       "      <td>8.74</td>\n",
       "      <td>8.77</td>\n",
       "      <td>0.1927</td>\n",
       "      <td>26400734</td>\n",
       "      <td>230602730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-29</th>\n",
       "      <td>8.77</td>\n",
       "      <td>8.79</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.66</td>\n",
       "      <td>0.3619</td>\n",
       "      <td>49587936</td>\n",
       "      <td>431956026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-26</th>\n",
       "      <td>8.66</td>\n",
       "      <td>8.68</td>\n",
       "      <td>8.54</td>\n",
       "      <td>8.58</td>\n",
       "      <td>8.57</td>\n",
       "      <td>0.1995</td>\n",
       "      <td>27341910</td>\n",
       "      <td>235435272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-25</th>\n",
       "      <td>8.57</td>\n",
       "      <td>8.69</td>\n",
       "      <td>8.51</td>\n",
       "      <td>8.60</td>\n",
       "      <td>8.64</td>\n",
       "      <td>0.1940</td>\n",
       "      <td>26584837</td>\n",
       "      <td>227865109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-09</th>\n",
       "      <td>23.24</td>\n",
       "      <td>23.30</td>\n",
       "      <td>23.08</td>\n",
       "      <td>23.12</td>\n",
       "      <td>23.16</td>\n",
       "      <td>2.0287</td>\n",
       "      <td>12181330</td>\n",
       "      <td>283000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-06</th>\n",
       "      <td>23.16</td>\n",
       "      <td>23.56</td>\n",
       "      <td>23.12</td>\n",
       "      <td>23.45</td>\n",
       "      <td>23.50</td>\n",
       "      <td>3.4872</td>\n",
       "      <td>20938854</td>\n",
       "      <td>488000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>23.50</td>\n",
       "      <td>23.76</td>\n",
       "      <td>23.47</td>\n",
       "      <td>23.74</td>\n",
       "      <td>23.72</td>\n",
       "      <td>2.9977</td>\n",
       "      <td>17999621</td>\n",
       "      <td>424000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>23.72</td>\n",
       "      <td>23.80</td>\n",
       "      <td>23.55</td>\n",
       "      <td>23.59</td>\n",
       "      <td>23.59</td>\n",
       "      <td>2.9528</td>\n",
       "      <td>17730203</td>\n",
       "      <td>420000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>23.59</td>\n",
       "      <td>23.78</td>\n",
       "      <td>23.31</td>\n",
       "      <td>23.33</td>\n",
       "      <td>23.28</td>\n",
       "      <td>3.4383</td>\n",
       "      <td>20644985</td>\n",
       "      <td>487000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1032 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Close   High    Low   Open  Adj close  Exchange Rate    Volume  \\\n",
       "Date                                                                         \n",
       "2021-03-31   8.79   8.82   8.64   8.75       8.75         0.3240  44404256   \n",
       "2021-03-30   8.75   8.78   8.70   8.74       8.77         0.1927  26400734   \n",
       "2021-03-29   8.77   8.79   8.57   8.64       8.66         0.3619  49587936   \n",
       "2021-03-26   8.66   8.68   8.54   8.58       8.57         0.1995  27341910   \n",
       "2021-03-25   8.57   8.69   8.51   8.60       8.64         0.1940  26584837   \n",
       "...           ...    ...    ...    ...        ...            ...       ...   \n",
       "2017-01-09  23.24  23.30  23.08  23.12      23.16         2.0287  12181330   \n",
       "2017-01-06  23.16  23.56  23.12  23.45      23.50         3.4872  20938854   \n",
       "2017-01-05  23.50  23.76  23.47  23.74      23.72         2.9977  17999621   \n",
       "2017-01-04  23.72  23.80  23.55  23.59      23.59         2.9528  17730203   \n",
       "2017-01-03  23.59  23.78  23.31  23.33      23.28         3.4383  20644985   \n",
       "\n",
       "            Transaction  \n",
       "Date                     \n",
       "2021-03-31    388013111  \n",
       "2021-03-30    230602730  \n",
       "2021-03-29    431956026  \n",
       "2021-03-26    235435272  \n",
       "2021-03-25    227865109  \n",
       "...                 ...  \n",
       "2017-01-09    283000000  \n",
       "2017-01-06    488000000  \n",
       "2017-01-05    424000000  \n",
       "2017-01-04    420000000  \n",
       "2017-01-03    487000000  \n",
       "\n",
       "[1032 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（2）使用data.column.plot(kind=' '),绘制列为\"Close\"的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data3['Close'].plot(kind='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（3）用同样的方法,做出剩余列（'High','Low','Open','Adj close','Exchange Rate','Volume','Transaction'）的折线图（大家可以挑选几列进行尝试）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#请在此输入答案并运行#\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#参考答案#\n",
    "\n",
    "data3['Open'].plot(kind='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=#A64646 size=2> **对于这些有时间变化趋势的变量，用折线图可以清楚的看出数据的变动情况。对此，我们是否有简便的方法一次性输出所有列的图形呢？**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（4）拓展：结合for循环语句，输入代码后可直接显示所有列的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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78friI6zxIAVMEAQhBcl4cT9Q4TFexyt1UU1Nl0TH3SDmqpA6qdApLAhC/Ila3IloEhHtIqJlDuuHE9EBIlqk/91XczNjZ8BD/zNex1uLkxqWiWEO1UmzN2D1juD0TQnLCEJmkhPDZyYDeA7AGy7b/MjMZ8ZkUQKJVwhD5YYnU9wV0XQSP/TFChABGx4bnUCLBEFIBaL23Jl5FoC9CbClFoiPGCtvNxXi3dHeX6w2i+MuCJlJomLuxxLRYiL6ioj6OG1EROOIaD4RzS8pKUmQKQHiLca+FCg/kMwSCIIgpC6JEPeFADox8wAAzwL4xGlDZp7IzEXMXFRYWJgAUxKD8nZTISxT45mYxHUXhIwk7uLOzKXMXK6/ngYgl4haxvs4sRAvKVYx91RIhUwFGwRBSD3iLu5E1IZ09SOiwfox9sT7OLEQbx2saRpijVBzqEZog1P4RlIhBSEziSUV8h0APwPoQUTFRHQVEV1LRNfqm5wHYBkRLQbwDICLOEUCw/EqP2CEZfSvNWfdblw2aV5SxD7SlnXaTsIygpCZRJ0KycwXh1n/HLRUyZQj/p679v/aNxegrMqL8movGufnxvcg4WyI8EulxN1VEIRaI6NHqFofGOKX5679twprbT6fRDtZh9PDk8TsBSEzyWhxt2azxHveUCMVUoU2kqCTsXjuv6wPdIHolRQEQcgwMlrcvVZxj5v46tky+v6TEbZW3yWWmPuFE+car8VzF4TMpE6Je7xQYZnUyHOP1HNPvq2CINQemS3ulphD3GLu+v8U0PaIR8k6bZaXk9GngCDUWTL6yg4Jyzh4r2c9NxuXTZoX9f5DOlRr0TtWx2KuWQmCxvVrN7tHEITaIZaqkGmDmlRD4aSBS4oPRLVfa1iGkpwszhw+X91R/1Pg6UMQhPiT0Z67xxqWidN+1ajOZKZCmokk7u70VCGxeEHITDJa3ENSIeOsvqFhmdrDfOhIYv9OX12SZQQhM8locVcTWScK9WDgNKiptojMc49uuSAI6U2Gi3tiPGtDzBOWRx8dkRzX6alFPPfIeGfeZpz74k/JNkMQIkY6VGMgkAqZzGyZADXz3EXdI+HvHy9NtgmCEBUZ7blbO1Q/X7wNi7fsj9v+VY65UX0glTtUJeYupDm7Sisx4t8zsXlPRbJNSQsyWtytHaqTf9qIs5+fU+P9GpN1pEhYJqLBVE7iHldLBCFxfLJoKzbsPog3ft6YbFPSgowWd48vMdKl4teJLkzmbkOoPa7bO6q7yLsgZCIZLe6JqP3y0OcrsO1AJYCAxxyYdi/uh4uIGqVCxtcUQRBShIwWd49LKuTM1bvw3cqdUe9z0pwNxuvQQUxpmAop6i4IGUmdypYxM/a1XwEAGyeMNpYxc1SlBEIHSUVpYA0wh1ki61B1SoUUdReETCSjPXdflIOYoi0RnApVIYHAdH9uOPU/pMhXSGnMHeerd5Ql0RIBkHl/IyWWCbInEdEuIlrmsJ6I6BkiWkdES4joyJqbGRvRdqhaUyfD4bekQtbqCFXToSIp+/votJX2uxF1D4u5fU97alYSLRGEyInFc58MYJTL+tMBdNf/xgF4MYZjxIVoO1Q93ui2T2ZYJvi44Q+8fKt95UvR9vCkwqQsghAtUYs7M88CsNdlk7MBvMEacwE0JaK2sRpYE6L1xKuj3D40FTI5RFR+wPGzIlzhSNSMXkJ0yKkaHYmIubcHsMX0vlhfFgIRjSOi+UQ0v6SkJO6GRHtRhrsZWIVw9rrd8Ps5KYXDzEeKxLOUuVJjxzqjlyC4UV7lxainZmH5tujmiYg3iRB3u+4OW2Vh5onMXMTMRYWFhXE3JP7iHvx+waZ9QaPlzOv/t3wHbv9wcVTHjxUpP5BYxHMXomH+xr1YtaMM//x6dVLtSIS4FwPoaHrfAcC2BBwnLL4oPa5w4m4noht2H4SpuoyxfNybC/D+/OKojh8r6TpZx96D1Xj7l81JO36kSMw9tUj2zGfhyM3WZDXZT3yJEPfPAFymZ80MAXCAmbcn4DhhifaarPKG8dxtlnmDwjLRHa8mmENENRmhmszz7y9vL8RdU5fi95Ly5BkRAeK5C9GQnaUJgts4m9ogllTIdwD8DKAHERUT0VVEdC0RXatvMg3AegDrALwC4Pq4WRsl0caZnVIn/+/5Ofjvj+ttBdJ8DLv10XbqxkIknqVTUyTau/D5GT+sKbHtuC0pq9JtSG3x9EVh39TfilFa6UmgNUKqk6PEPcGTBYUjlmyZi5m5LTPnMnMHZn6VmV9i5pf09czMNzDz4czcj5nnx9/sUHaVVeKeT5YGiWm08WQnIV60ZT8e+XKlbQjDLKx265/8Zk10RsRATUaoehLslf73x/W4fNI8fLtyV6hN+v8Uf8p2LWNhZsW2UvztvcW448MlEe+bmTHll01yQ4iAVHUBtuytCNKOHBWWSfITX8aMUL3/0+V4a+5mfL8qICJRe+7hwjI2uzPfD+w0QIvJx5/gqpARbO+wPNGeu/r+u8urQtapG06Ka3vEMfdDHh8AYEdpZcT7Xrh5H+6eugx3T7UdEyikOPsrqnHC4zNw36fLjWXKc09UVdpIyRhxr9aFOdvkBjo1rdPFGi7P3e5m4Wc2dacm58esSVgm0Z2FynvJtnHP08VzjzxsFH1bVnq0c26Pzc1PCCYVM7tKD3kBALPXhaZyR1v+JN5kjLir8EJ2dkApnDx3J0ELd6et8oT+WOZHL7vD1YZwRfKE4rRNor0LVZclK8umISwlk1OV0JHI7m0WzbdJ9ixe6UQqjtVQNmWZnUrdzGT3JWWMuKvwQm5W4Cs5nQvOQud+p1WP3XbHdSJR56N5tzUp+ZvoTh9VlyXb5kwzPPeEWlBzrG0U6W/KzPhq6XbjqdKOwFwAqSdcqUYqpqTaibtaFmlfTaLIHHFXnrvJQ7ROg6dw9tyjF3ePz32Eam1cszVJhUy05+4zfpfQU82IuaeZ5x6pEH+3cheum7IQL8xc57iN+uqprO33fboMJ/1nZrLNMK7xVCqZYUzYY1qmrEu2554x9dzVBTht6XYce3gLAM6i51RFMVye+6FqG8/d756dUxtxeKebmNUSO2ojFRKwj7nbXRipiPUGaNeSN7+3CJ8uDh6rt2mvNpHz/grnTBjl8SVzMFk43vh5U7JNABCIYadWNQjloASWqJu/ZMvECdWQb87dZNzZzR6WOeTrJIbhPPcqr53nbhJ3m88kLCxj2m8kJX+T1aEa8NxD1ylBS11Z07C2UYXNTf7j37aGbFempzc2ynf2oZIxAC5dUZdaKoWwrFNtAoEni0wcoZoUzA2pPHDz45s5XOMYlrHx3M03gkPVoes9XgYhOG66akdp4PO1cB7WJBWyKsEnoN+IuduFZdT/1LlY7bDG3Me+Ns91e3Whl1VqmRSN83Odt9X/p3obpALKc0/24CAz6mdbt6s8ZFmywzIZI+5mwT5wSPOYzMJq7vCwerrZLnmpZi+h0i7mbhOWGfXUj6YtEvMDmx/jI0uFdEj/DBOKqileN89dNynVvVZr+/62eX9Enys9FInnrsIy6cOWvRX4aEHt1E0yo86lVArLmPXhq6Xb9WXae+lQjRPm+FapIe7msIy5ozX4s2rQgV2eu/lGYNehGjRCNWkdqpGkQtovD9fPUFNU+2S5dpqmtrTFGjtVo05t00AtpPoNzsxbczfh1g8X1/rTht8Q99RRd/P1v2an5r2r6zHZ2T0ZI+52nru5ac3Xl1mw/X42qrjZxdzN56/y3E/t3dq0X0KDetkAgIM2sdja+HljjUHWy85Clc0NK564neCBvpGEmlBjwl2kTiKnBri4dXirz6ZTWGZHaSWYa/93S0XP3Xzjr9T75IxUSAnLxAezMCuPSTXysV1bBHV4mC+2siqv7T4U5gtbifvx3VoG9sWMpg20mOq+g9Uhn0/URWvebSSOjJ0dDfOyUVlLnrt9JhEc16US4Tra7W7qAFBWpZ2Hbh3e6vRK9TYws+OAVl6htj1TX0p67gFbjLBtmGYpr/Jif0WoVsSbjBF3W8+dgfq52Xhn3JCgdLugbSs8hvCFi7mrsIw5wlDp8aFZg3oAgD124h79V4maWMMyBfk5tea526X6BWLuqa1s4URMhQEVCzbtw9qdZRF57n7j6SW128DMTr12Tm3bbIh7CjWV+b6vSkmEu+cNnfA9Bj70TQKt0sgYcQ+OuQcuKhWOIYewzP5D1Ybs2HUump0ElS1DAI7Tc+kPeXxGh5md5z5zdYltR2xNCa7nHv5st+tPKMjLTViH6ncrd+Kkf880Yvp2zpaRCplCF6sd4WLudhUdT31ylrHc7ebgd3myqSk+P6Pc9GQaD5jZKIyWLM892SmGZsyZO8pRCnc9HjhUOxVAM0bcnbJlVEeeuVPLLIx3TV1q5C3bCWBQtozKcyfCG1cOxpgj26PS4zdCPnsdHrWe+W5tLF/JFfN1Fck1ZhdaaJSXk7AO1Xs/WYb1uw9i+4FDANxH76a61xrec7cX0FKbrC0rRlgmJsvceeCz5eh7//S4imFppdfkodayuOvHS3SGVzT4bGLuqXI2Z4y4m8XroO6t+DlQGiA4LBN4vWxrICfdNs/dHJbRbwIErWZz4/xcVHp8xs3CznM32xNPok2FPKZL85BlDfOyE/JUoe1be5oxnqJsTEz1jlRFOM/dyRPzR3DzUuvi1TezcfdBQ/y+WKKNmN24Jz5lp5nZCMkAkfX1xBP1O9hlrSnOe/GnuKZp+v2MZVudJ7oO6lBN0k3PiYwRd7PABTrx2PDYg/Lc/YyGeoaLGdsOVdMPpUaoql3l52ajyuM3ZNYu5g5ose14E+y5hz+ZCvJy0attYyy671STXbmunvutHyxG5zu/jMk+Je6BpyE7zz094s12c/Gaxdgacw/5vMvNwRfHNth3sBrD/z0T936i1Ybv3LIhAGDVjrIa7xvQvofqTAUiGxkdT9SMWG4OyfxN+3DLB/GbmP7V2Rtw5rOzMX/jXtv1/iBx1z33FDmfM0Lc1+4sCxoSHvCYAqKeYykF3Lh+6KhBuw5V8++kRhyqEan5uVmo9vmNi9fpIm/kMkIxVqKNuVd5fcjLyUJTvfMXAArycmxLKig+rIEHVJAXfEOz0zcl/PG8Fio9Ptz2wWLsKot8woxw2Hnu5nMl3CxKbiIYSIWM0TgTKr4+5/fdALRUV8C+XIId93yyFDe9+5vjep8p3g4kLyxzyKb0NpCYWPzi4v0AgK37D9kf00bcUyWZJyPE/dnvg6vumTMQlKQ3qBcQmyqvL6gcgcJ2EJPpx/tiiTYCzey5A4HHMadYoFXo4kG0qZDVXj/q5QT/3M0a5MLj44R0jDXMC34yshMC9aQUT5H434qd+GBBMR76fEXc9mkn7pv3BkIdk+ZscP2829dTv10ihNJo3wh/37fmbsani7Y5rvf5GbuCwjLJ6VB1yvAKN9lOLKifxWkQns8mLJMafntsE2SPIqLVRLSOiO60WT+ciA4Q0SL97774mOqMtTGNOCYCw7sbmMIw5774M4r3hd6J7cIydhedui8oz0h5v04nV15O/O+hZru+X73Ldho7M9U+f4gd6olC2V+8r8L2glUn8MUT5+KfX6+KyL6G9YJvaHbapbzfeF4MuQmYed7u5jf6mdkAtGkEt+y19+rcPm+s4/i3gUK1b7yqE/r8wZ57bYdl1PdwCsvUpKN13a5y23BKoPBdBOLujSxbpraISnWIKBvA8wBOB9AbwMVE1Ntm0x+ZeaD+91Ac7IwKcyeV+k2sYmOHrbjbnC8qLKNCPeoHdhrskojf2rzPL5dsxyWvzHXdvtrrN25GCiX2a3aWY9Oegzj+nzNCnoKAwMX08/o9eHHm7xHZ1zAkLON84cQzRpnjMto4VuxuFKqvYquNk2AlklG6iVB3tyej0kpPUOdoJPj9wI4DASeitjvElePh1KGqxD2Cag9BzFm3G6c88QM+sAlDqrZz2qX5t1UztZnP5zd+3oi7py6NzqA4Ea1LORjAOmZez8zVAN4FcHb8zYoOqzgYpUH9gcepwsZ5Yffj8YaerbZ3Yf2XVvv2GuJuf7Yn4k7u52Bv4vcS94yIKq8febnBP7fywq6c/KshUj/p8VozsWTU5FuO5dYE8Wye3GznOkGx4jYiMpLJsN2zZbT/lR4f/v7xUhTvq4jaPieUuNvdXIY9PgPH/OO7qPbnC8mWqW3PXfs++yo8tl66uuHm2FWpc2Gpng2zdmdox7P6ik5PKbYxd9Om9326HJ+ZQl3xdDrCEa24twewxfS+WF9m5VgiWkxEXxFRn5iti4Cvl203YuEKJfY+k+fevVVB2H3Zlb+1+1GVpOYYIQDtc3aplEBiPBwGB4l7OO/X7LlfN/xw9O/QxPhMRbXXOEnNHc8Kt9QzJ6xNGYnAxcq+g9V46PMV8Pj8Rp2geIZlPH5GbjZh2BGFIeu2O3S0Adro6JYF9bBxj7Ngq4t924FKvDNvM66fsjBmO61NrJwNO3Hf5zKByC3v22eb+PyauKu+m2QNYgKAP785P2S9uqHnRum6l+uJEgV5oYkP6rytdOjEtSs/8OQ3a4L3X+01rrVYrqVYiVbc7VrN+gsvBNCJmQcAeBbAJ447IxpHRPOJaH5JSejs4ZFw7VuhF4M5TJKrn4jdWzUKuy87cbYTTbIMjFLC6OQtJiI2yRx8Eoe7zswdqneM6onP/nJ8UL0dZWOOTd11pxPbDauYu3vuNWufR6etxKQ5GzBt6XbXInCx4vNrN9LcbOvTCDtmUQBAv/ZN0LlFQ+xx6Q+xPu3VZNyB9TyLtcP6o4X2WVJVXh92l1ehbZP8mPZbU8ziPmN1qF4ob94pPu6EyjKyJgEAgTZ0ysQJKj+gH3+tqbb7Ea0LwBzIWKqMMHMpHkQr7sUAOpredwAQ1L3OzKXMXK6/ngYgl4hawgZmnsjMRcxcVFgY6hXFijoHzN7qoMOaAnDv3FyxvRSf/LbVdl9m1KOpmjpOnVROOeOJyHv1m3L4I6HaF5oto2AO5BCrpxHzvJ+xCE40847W1AH8comqox14UvPE0av0+hg5WVl4bEw/tGoUCO9d+PLcoMJzVo7s1EwbC+HS0We9CZlvrht3H0TPe7/Cht2RDUIyt/G0pdux3SjwFdHHw7KztAp+Bto1qR9yvNrAfE71adc4ZL26Dq034XCoQYZ2WW3eMJ3SZs/d5+eQ37N1Y+1GeO1bC7Bg096U9tx/BdCdiLoQUT0AFwH4zLwBEbUh3SUkosH6MfbEw9hIUSedOc7crml9/HLXyZh39ymun/3re4uC3qsTalSfNsay3/U7c45NfHejzYVYUe2LexU45oAQR0KVx4e8nGDPpIs+yOWw5g2MeKa6YTz+9Wpju5jEPRrPvYa9iUZBN1BgooQ4DlH3+f3IySYUNsrDP8/tbyyft3Gva9y5W6sC5OVkubaf1SPMNYXFPlm0FZUeP6Y6eNJWzLaYwztuIrxpz8GIn3K26U8pbZtqgpXo8PF/f1yPhZv3Ge99zDi5Zysc27VFUPabQl2H0XjuW/ZW2HakWvfpFIKyir51NHrPNlrE4Me1u3HRxLkh4r7vYHXCRolHJe7M7AXwFwDTAawE8D4zLyeia4noWn2z8wAsI6LFAJ4BcBHX8pAtdTJbM0RaN86POi1R7cvs9bJl3XpTZ+Y2m8f0CV+twsCHvsEBlzhntPiZbaeuc8LOc7+wSHsIO6NfW2zWJ3OetaYE78zbHLRdTGGZKDz3SM+OEx7/3jUr6K/vLcKUX7TJnOOaLeNn40Y6vEdhyDonjunSHHm5Wa6ee7UlLGMWpmxLh304nMJ/Spi27T+E3vd9jRXbAiU3hv1rJu7/bHlE+1fntvLcEx1zf+TLlRjzwk/Ge69Pe1ptUC/b1gOOxXOftyEw8tR+sJrfcR0Q2gbmydCP7doCV5/Q1bQvNkqYKAY9/A0un+Q+bWOsRJ2AzczTmPkIZj6cmR/Vl73EzC/pr59j5j7MPICZhzDzT+57rBkXD+4YsuzTRdtQ5fXpozKD7/BOd/XR/doCCM3yUE9ddifMwarAD6VuIm6P6c9+H78CYozIPXe/n+HxcUgqZFYWgUhLcfzHNC1/vcrrx98/Dk7diuZRcvOeCvx7+uqQi8FNBp76do3L2gBb9h7CT7+7PwSqQTjxnHlexdwBrb/FHBJw8txn3DocHZs3wDcrdmLdrnLH+jNWz92c6ZFtSbWNxE635dOWbkdFtQ/v/Rp8856zLjRDyg5D3JsmJyzj0R0Uj5+xbGspKqqDr7VYYu5m/+gevWyD3T6dMqasbb7P9IT+2hVHG2EZxZLiQJ0a5fP+YrrBxJO0H6F6z2i7NHtg0eb9tqMysx1Gml1wdEfceFI3VHr8tkP77eLV5l2pcgZuRcLM2+87WI27pi6N+ZGMmSM6iTfsPojdB7UOPbvvkE0U5L3YEY2Nf35rAZ6bsS5owmDAXaB+3bjPcV2sxKtyYEW1Fx495q7YUx64gJ28ZdXWqsNUpZqu21UWlE5ofcIwh2XUuWrXdvsrqkO+o1PGpjqHVfkMa62jSKVw6/5K5GaTEZZJ9BSNVpSDsnCTdr58s2Jn0PpFW/YDsM/4coLCfHsVlnFKc7Y6EWbPXUUJWhYE+mnMT0mJbr+0F3e72Bug5a5WekJHZTp1QnZq3gB5ejmB0kNedLtrGj5dtNW4eOuZThgj1dL0wzbWL5ibHdLIAOCVHzfgT//9BQDw+PRVePuXzfhssfNwbzeYQ0/iG6YsDBGCEf+eiXNf1B6e7EJSkXTKRuO5q9Gu1hnqrR5qPOqAzN+4F5sd0gytx4+Fr5dtR+/7puOjhcVBWTHmaRZn6lkbp/dtE/RZ1da3ndYDQKD+zClPzArKL7eGZcw3EXXzNt9AJny1Cp3v/BIDH/oG109ZEPRZJ09anRMq9NaiYfCYD3KZ39bs6GzbfwiFBXloYJTdqL3OQUDPfssmPHHBAADBAxOXbzuAp/XS2jlZBL+f8dGC4rDhOdepfeE+VsBuudlzV+3avKF9bamb31/kfvAakvbi7nRiLik+gLJKT0RFu8YMao/OLRsatWIen74KXj/jkS9XGie3XczdnEtd3+EmY2W2/ghcrod0Yi1N4Lfx3L9cuj3IKyzTBUUNj7c7ViShnVhma7JeU9Y0UfP7Xm0b47U5G/DdymBPLBznvfQzTvzXDNt18Zi/csYq+/TcB87qg77tA6GZbq0KMH35jqBt1Plycq9WAJzLQVtvcj+sCRxT/b6vzdmIyyfNw57yKrz0Q2CE8Lcrd+GD+VuMG6pjzF1fvnaXNkjHKkjqEmrRUCsq1699k8BnzZPgVHrQuH6uqaZS4sTdLtxV7dXGMXQt1BIBzE6H+bzPycrCRwuLccsHi/H6TxtdjxMuJKKejiKNue91+J3tmLZ0R/iNakDai7uZT24YarxeuvUASiu9aFw/fNmBswdp47Dq6yftlF+0mGRJWRWm6qmRQeKu/55mT8n6BGHXF2DmkB4vVMeMlkiyZZSnpnAKywDAJccchiP1dFEr1lAVM2P5Nvsa18qiaku1SWsIocrUSTuka3M8+PkKXPX6fOw9WI0Nuw9izAtzHHPIT33iByzY5B7KMWfLbNpzMOKyCQDQ/4HptoNkFNlZFNSX4/H50apRcGxV3Uib61U4X/95Y1C5XEATRzfP0vzr/rCmJCSTCwBu+3CJMRmMU/x/rx5G+n2X1vFvfRJTx1Hns5pZ7K25m/CxKTW40qOJq3JkEpnWZyem1fogNXVzcTp+TjYZ6aPWDkwzOw5U4u1fNjuuB8wDwSKLuX+5dLvtdskgo8R9YMemxusNuw+ivMqLxmE89zWPnG6MPLQTv7fmaj9+vezAxXyK/lhuPgHzcyPruAW0i1qdmHkxivu2A4dsK9UpEf3HtJVGcSuFtXMZCIRlurcqCIoNmjnk8QXlov/3xw0Y/cxsfLywOCS2rp6krBk21V7tBjF5zgaUVXqCPHfzBfj+/C2YvbYECzfvx1WTf7Xtw1i7qxwXT3SvpeMxXYwXvPwz/vn1qrCleRWllV5MX77TNUXTfLPyeP1446rBQetV57UqsTx3/V5c8PLPxvrd5VXoee/XeOXHDc7fwfL0YY71m3lx5u8o3leB+Q43vA8WFOO7lTuNc86pBLCKASvv855PluH2D5cE2bxieynyc4KroSq8Pj+27I1P+QS7ielVh6pyiCr0c+OdeZtx5eTAzTg7i4zwSLOGgRLXVkrKggeX9W4bmjvvDZMtY13+2+b9jserbTJK3O1o5DJRRv8OTYIE3a0TLjcnIKRnDWgHILg4ltWLzsnKwp2n97TdV2mlx7jAYqnPsXpHGZZtLbWdhEFdoBNnrQ9ZZ+u5G+LeyJjo20qlxxd0sakQxM3vL8YpT/yADxcU44YpC9H5zi8Nsbd63cX7DuG7lbvwwOcrcP9ny4M8919NEyFkUaBzetWOMsfUx4EOTxkKc8hsZ6l2EUfb1m7JIGaP2+NndGrRIGi9usmZ29z8JBXJbEHWUFZZlfOMT8f/cwYmfOVcsfOq1wPiZ73JZRGBmXHIo9X8X7WjDO/Os/dofX5Gfj3tO1lH3j4+fTVOeHxGyBNKLJj7TFQnpepQbdqgHlo0rId5+nljze7KzcoyblBuT8bWuQzcitv5wtSNUn0rdjx4Vl/HdYkk48XdblIOxbvjhgS9t4YSzFjTCAHg4qMDoRfrRMTNG9bDtcMOt91X6SGv4a3Gko+9viTgLVu/g9vkG3bfQXn/3VsXoKlDx4/muQdObquHeOsHi8M+jn7821Zc/YYmMAcqPEF2moue/WPaKrw/P1C+aHGxffjnnEF2JY0COD3Wx4s2TQJhGK/Pb/tU5MZjLkL8/Ix18Pr8ITHtcKWFFdYsjEaWkZfW8RZEWtswA9ec0BVNG+QGhWOsqKdU63eYpfcXRBN3dsIcBSmv8sLn1+YdyM3OQnYW4cz+bTFt6Y6ga0GRnUXYd1D7jm4d61Znzu78CBQFtN+P18dolJcTMgrdXIfo2MNbYOxxnR3tSBTxn0UiCTx90cCgnHMzjW0897MGtMNxh7cImsADcL/47bzenOwstGqUh11lVSHpfE4hDkDznNQjciwDQcwdZ0O6tsDdZ/TCo9NWAnBPr7L33LWnm1aN8hw9908XbbO9McQKEbnaOWddcC77zNW7MOiwZkHLmrrctJ0IV0zM4/PjxMcDHbRuWz95wUA89tVKvD+/2Aif3HZaD8xaU4K+pg7JWPjX9NV44ps1MQ8SMocbWjfOM55cFNYbMYFQWa39Hs0a1kPfdk1CcsjNmL1hZgYRobTSY8yRUNMRx0CwKHv9fkNc1RN0x+bak9JJ//kh5LPZWYQS/alCZSMdqvbB4/cHhWmt5+D6koOYNHsDrjy+i7FM/Qa7yuzrA/n8fmRlhZ7Pr18ZHKaLNOEinmSEuJ89MNSLe+uqY/C/FTtwbNfQsjbPXDzIdj9nDWhvDOax4jTqzTw4ZcrVx+CPeqpjywLnWF/pIU/Ac49F3C2fMYco3v5lc5Bn1rd9Y2MScKcO1W6tCkBEjoK592A1XrYJ88RKFrk/YVgZ+9qvIcus9eIjwePzw+vz4+6py9C9dQEKG+UFnTvb91ca9VgA90E6zRrWw9UndMX784uNp7YbRnTDDSO6hWy7/h9noOtd06KyNV6jP9s0zg8RdytEgfM4PzcLOdmEhS6xY/O1UFJehVaN8nHJK3ONdmDWQmDR1D6yYv7+Xl+gZotyMtyyzCo9PqOv5vWfNuL7lTvx25b92F/hwcWDD8NjY/oBCD4Hs0gLbz30xQpceXwXjH/nN6wvKTccqW0OoSY1evmaE7vivV+3ON4EzDWJaouMC8vMvHU4Xr28CMd3b4mHzu6LJg0i9/DaNMnHrSOPsF2nLvQTugffLMx37KHdWhrFh1ronnsTG8EsrfQaJ0Es+d5WD9R84kw1hT8A4JXLiozXdpdapxYNcWzXFgAQNL9qpJx3VIeoP5NFZHTGjehRiPEnhQqiG43zcyISd+vsOh4fY+nWA3hv/hY88uVK3PTuoqDHbeu8qx8vDIQm+ncI9cY7NmsQssyOrCxKysUNAKP6to1ouxXbtfDX4YUFtpVBnVClN5QDAQBnPjsbXe+ahvs+DR3xqaj2+rFsq33IDQgOq3l8fuPpKNcQd2dPuLzKa/SXrNtVjhmrS4y4vbm0hvnaPd3UTic+PgOfL96G5dtKjf04pbKqlOTG+bl4Vnca/6D3yZn505BOuPuMXjizf2S/RzzIOHHv3LIhTu7VOvyGDjg5a/3aN8Edo3oaP6ATKk5aqIv7jFuHh2zzgSmmHEvdcesjoDUNTzGyd2u0MQ1/tvMG3xk3xOgMGnZEIUb0KDQqaEaCU3x1zKD2ePvqY2zX7T9UbTzh3HTKEbhlZA/8ePuIkO1uO60HOjavH7J8QMemaGJJcb2gqAPetGSsnPLEDyg9FAgveP2hI5bXmCZosKbWDTuiED1aN8LU64/De+OODbEjmkft/15eFH6jGLlhRGjfzrXDDsfGCaPR26Z6opUOzeob7dS+aX3Uywl1Ax4/TyuYNsJSW+emd3/DmBfm2O73jZ832U6AAWhF0c58djYe/mKF6/R2gCb0RlhGPTW4PBSUVXrDDk4CgJ9NpSyuGNoZPVprRb6sKcRqmd3N6Me1uw1HbXCX5rhndC888IfQUfO52Vm45sSueO6SI7HgnkDxwkb5Ofj3+QPCGxsDGSfuNcV8mpnj9fsqPLhu+OGO3q0SMuVxtNDDMs1tUrF+XBuo5eGxdPgcqvaFHRxiTQ+sXy8bP94+AlebYoWA9iRBRMagFKd0LpXZUb9eNl67YrBRyQ7QYrZuOGUjjOzTBoO7NLftSJq7PpAdox6v2zYJvUFdMbRzyPSI1w8/HC/88UgcXlgQVKnz7jN644TuhSE3A3PnrMfLIUP0Rz8zG9P0GPS4NwIjPk/o3hKvXzkY0/92IgYd1sxRyJ+/5Eh8dF2o8Ftp2yT0JhUv7EJBx3fTnjD7W+L/lxxzWMi2367cZdREKsjLsffcGdg4YTReu0K7ga555HQQaZlIbiGcU5+cZbt8px7meHX2BtsxC0Geu9dvKgqmnatOaaGA5rmHq3vj9zPe/XVL0LIOzex/o1N0Z3HMCz8Z157fz3j9p41BczETEa4+oavx1O5Ei4I8LLrvVKz/xxlY+sBpMT39RoKIuwV1TvxpyGH46LrjjOX9wnSSHadfTP86rz+OaF0QFDa4+VT7UA+gxTrN4YBe932NUU+FXhCrdpTi2e/Wgplx0Kazq2PzBmhuifNfqGfzvHTpUbigqAOG6OGXcJjHC5zUs5Xrtk7ZCKP6tkFOdhYeOMt9Ii7lSedkZ+E/Fg8mO4tCxg8c360lGuXngojw8P8FUsxUep71ZjDHNG3g1v0VuHTSLyE2XD9lIZ6fsS7Ic3fKBbcyun9bHNWpedjtVKy4IC8HhVGGaP55bj/X9dbEgFcuK8LQbtpvbc3z9vkYT180MKQeuhqU5hTusjoG9XKyajQ9ojm7zC5ObY6He/xsvFfni1uHb3mVN2xtIesxuxYWOPZ/tWmi/V7VPj8e+XIl7p66FC/PWh9xNU07mjaoV6M+iUgQcbdwnH5R/KF/O3Rv3QgbJ4zGxgmjbT1wAPj25mF4/88Bz+38oo7439+GBW1z48nd8UcbjwnQ6qYPfvQ7MLPxeLpxTwW8Pj/umroUS/VUwIc+X4H/fLMGCzfvcyxO1sAihEoY2zetj8fPG+A4WYeV84/qiL+dot2QrHVIFCf1bIVHz+lrPD6fM6g9Xht7NO4+o5djmqJdmMbcMWa9UeRmZeG8ozrg6M6BTBmz+BQ2ysM1J2hPK0o8rR72TNOMPde+tTCosJOZf01fHfTerQBcLDTKz8EpvVpj4qVHGcLz9EUD0axBLi4ypdTaceHRh+HVy4vw4bWhTwiL7x8Z9L5lQR5G9Ch0LMvRoVl9nD2wPSZfERzCmr5sB5o2yEW9nKyg+iiKeM/9ac61v37KQjz73dqgwWzmAVJenx9PfqONwlVlBq4c2gVNHfrTfH52nEawvV7Rcuv+QOhl1cOj0LxhPazeUWr7mTU7A+mW78zbjCm/bMY/v3ZOZU0VMiJbJp4c3bk51j56esQ1obtFMDcr4BwXV9zywWJcOTQQVvlmxU68/ctmtG2cj417Dhre2cs/rEdLB88vN8Y6NVaysgg3ntwN1484HKWHPJi+fAfaN6uPPx7TCfsrqrHjQCXGn9wdgHYhfbtyF24Y0Q3dWhVghIunf1y3lmhYLxsHTRexOcylqhaa7fjTkE7405BO6HznlwBCPcu7R/fG3abKoHeM6olr31rgKOKKkb1b438rnGvZxLtuSlYWGXH3M/u3xZRfNmNU3zZGts6FR3fEk9+uNXLFrah+pI0TRuPdeZuxeW8FTjyi0OiwH3diV0yctR6z7xjhOEH0G1cOxnGHa85Ly4J6GHtcZzSpn4unv1uLg9U+DNE7jVXYcNBhTTG4S3O8/MN626dFM/ee2RvDe2j2XPHarxjdv60xqMpaetvvZ7wzLzgk8p9v1uA/36zBy5ceha4tGwbVM7rq9flG9pmqydSsYT28enkRzn3xZ4Rjzp0nYeiE7wFog+sunzTPqE8DBBwDuxHfgPtAqEljizC0m+1Ec0lHxN2GaKfpigRzoSnF4YUNjQE8Hy/cGjTpx6Q52rD0Xzftw39ME+7+b8VOnNLLXkCV51M/Nxs///2kGtlLRMjNJrQoyMM3Nw9z3O7SIZ0wul9b1zjj9L+eaIQ8Ft8/Et3u/spYZ57aTKXjXTqkEy6y1OYZ0rU55q7fi2Zhsp+GdG2BRfeNxBdLtuEvb/9mu83ZA9thwpj++On33UEjNxV/GNAO1w+3H4AWDx48qw9uO61HkOANOqwZHhvTzxAhxaSxoR2xFw0OfQr8++k98ddTuoeEsQBg3l0nAwBamTrXicgImalqitaSGUcd1gwFulNh9yTz2V+G4vJJ83DXGb1wflHg9/p8/PEAYIj7gUMebCjZjw7NG6CgXg6GPPZdyL4Uf35T6/e42PId1RPidaaBgXaZaGYGd26Oly89Cs0a1kNRp2bYuOcgdpdX44c1JUEF2lR45JaRPXDrB4tx9sB2+N7UD+FWn6Zv+yZRD2CrLSQsU0vY3d3v+0OfoNRKVY8aCNQ4t/Pkvl25y/YYg7tosd+3rj4mprTGWCCisB1IPdo0MuL4OdlZuGJoZ9vtlP3nHNkefdoF93G8evnR+GL88WGPpTizfzvcfOoROLpzs5CCaE9fNAj162Xj5F6tgzKDPr1hKP57WRGevXgQetnUGYkXOfoQeivtm9YPenr72ylH4KSekWV+EVFI7F3RqnF+kLBbefGPR6JRfg4mjNEyYpY9eBquOaEL/nrqETi9n9ZpPapPaApf/w5N8dt9I4OE3cyD+s3jslfn4cKJc3H5pHmYb5lH9PHz+tumDlpnA9tX4UHrxnlBYbfmppDhhsfOCMmQefy8/kafw4fXHRc098NZNsc876gO2DhhNJ6+aBB+u+9UI0Poz8O64s2rBhvnpyIvJ8sxbJkKiOdeS+TnZmPDY2egeN8hnKCPghx2RCH6tmuMox75NmR7a/jCDmu8tX+HpvpJntiOmppy/x/6oKzSGzLr1QndC7Hq4VG23mfDvJyoR37eeHJ33KiHj1RY59Fzgut8nNq7tVHsaYCpIzlZ3D26F7oUNsRZA9rZjq5OBKf3a4vT+wXEuyAvxwh1dWul9TvFgnoqUzWQ1u0qDxoMt/SBkWiUn2s7NaUdN50cnJjQvGE9XDqkEwZ3aQ4iwvIHTwMArN1ZjoPVXnRu2TBoe3NG1lMXDsS9Z/ZG8T77Qmc52Vm4oKgjLjDduCo9/qCJbQZ2bBrVrE+1jYh7LUJE6Ni8Ae4Z3csYIt6iIA8DOjbF4i37kUVaytzW/YdwZv92eG/+Fsd9PXPxINvH0lQXdoVTbq+dsMeD5y4ZhM17K/DHYzoFLb9u2OHo2rKhMXVcssnOIlw6pFP4DdOAcwa1R35uNm54OzBZtxLHC4s6GnMtHNWpGVoW1MNuPb2xecN62HuwGqf1aY1LjukEv59RUl4VJLQKc8aUenJxukkP7tIcfx7WFWAtFFPYKC+qzKVTerXCf84fgEGHNcV787ckpV5MNFAtz13tSFFREc+f71xDO5Px+Pw4cMiDlgV52LTnIF6etR43n3oE7v90Ob5cuh1DujbHul3lmHhZEVo3zsfKbaVG2WFBSHUmzvo9qKzHsxcPsg3FANr0gbPX7cZz36/De+OOjWqEeV2EiBYws+0IuajFnYhGAXgaQDaA/zLzBMt60tefAaACwFhmXhiyIwt1Wdyd8PkZO0orjfQtQUhXnv52LZ78dg3O7N8Wz148KG2eMFOduIk7EWUDWAPgVADFAH4FcDEzrzBtcwaA8dDE/RgATzOz/Th0EyLugiAI0eEm7tFmywwGsI6Z1zNzNYB3AZxt2eZsAG+wxlwATYmo9qrlCIIgCFGLe3sA5l6+Yn1ZtNsAAIhoHBHNJ6L5JSX2gzcEQRCE6IlW3O0CZda4TiTbaAuZJzJzETMXFRYW2m0iCIIgxEC04l4MwJyP1AHAthi2EQRBEBJItOL+K4DuRNSFiOoBuAjAZ5ZtPgNwGWkMAXCAmd0n2BQEQRDiSlSDmJjZS0R/ATAdWirkJGZeTkTX6utfAjANWqbMOmipkFfE12RBEAQhHFGPUGXmadAE3LzsJdNrBnBDzU0TBEEQYiVlRqgSUQmATTF8tCWA3WG3qj3EHnfEHnfEHnfEnmA6MbNtNkrKiHusENF8pyT+ZCD2uCP2uCP2uCP2RI6U/BUEQchARNwFQRAykEwQ94nJNsCC2OOO2OOO2OOO2BMhaR9zFwRBEELJBM9dEARBsCDiLgiCkIGIuAuCIGQgaSHulGLTthDRLUQ0Un+ddNtSwQaFtI070j7uSPvEj5QWdyI6m4heB2A/m3ItQ0QjiWg6gDsAXAYY5RaSZU/KtI+0jTvSPu5I+8SfqGvLJBoiImZmIhoB4GEAHgDHEtEmZt6XDHsA5AK4D8AwAI8BqAfgaCLKBeCtzZMwldpH2ia8PZD2cbUH0j6Jg5lT5g96aqb+ujOAtgBOAjAZwLAk23O06fUwAL/X5faRtpH2kfZJ7b+UCcvopYQ/JqK/EVEbZt7IzNuZ+XsAOwEMIyLb6fpqwZ62zPyrvjyXmX8AsJ6ITk+SPUltH2mbqOyR9nG3R9onQaSEuBPROQAuB/AMgP4A7iGigaZNpgA4AsAxls8lpLPDxp67iUjF3rxE1BxaBUtfIo4fgT1Jax9pm6jtkfZxt0faJ0GkhLhDa7gXmXkGgAcAbABwo1rJzEugzQLVl4hOIqI79OWJisfZ2XOTOiYz7wVQH8AIACCiRLdjKrWPtE309kj7uNsj7ZMAkiruprvfegCXAAAzbwLwJYCGRHSWafN3AFwN4D1oNZTjfveM0p63AAwmonxm9sfTjhjtSWj7JLttrN8l2W1TQ3ukfdztqVPXVqKoVXEnolOI6Cj13nT3+xBABRGdrb/fDmAmgN6kUQDgaQBLAfRn5tssn69Ve/Rl9QG8izg+PhJRE9NrSmb7xGqLvizubQNLZleyz51Y7dGXJaJ9cmOxJ4HtE5M9+rJEtA+IKDtaexLYPgmnVsSdiAYR0VcApgLoZlqufsx9+rrrdCE5AKAAQL7eiJUAbmLm0RyHybZrYE+e6Uf9lJlfYWZPHOw5hog+BfAKEV1JRHnMzKaTsdbapwa2JKpthhDRFAAPElF3ZQcRKXGt7XMnVnsS1T7HEtEHAP5FRL1ToH1itSeR7fMQADCzz7Q8KdpTmyRU3Ikom4gmAngFWmnMtwH00tflmH7M+tAm3d4OYCIRtQMwCFqeKZjZy8y7UsAer9qX+USpoU39ATwPzYP4EFr6VTfLMWqrfWpiSyLapi+AZwF8AWAXgHEIDHBRx6uVtomDPYlon1YAnoM2p/EeaLHrKyO0JxHtUxN7EtE+lwN4HVon6QX6shz9GLWqPUmBE58/OgZAff31aQB+gHZXVOsfgNa4gwA0B/AItMeiFwBk1wF7rgDwrv66GTRRbYRAOeaHa8ueVLJFP97VAN7UXzcE8CCAbwF0FXsYAE4F8I7JntOg3Xh66sseqeP2nAKgA4CRADablmfr/2v1Wq/tv/jvUBuEcIzNctIb+xUAzfVlraB5z4dbtm1QV+zRj1kF4FEAxQDmApgE4FYA+bo93RJhTyrZ4mDPAP1i66a/vx/aDedBXTxq+7dKtj3/B+AuAKP194UA1qpj6gJ1P4B/AmhQh+05U3+fDSBXfz0bwMOWcz2h9iT7L3470jy8jwHs1QWhmb6cEPD8OkDrnW5n8/msuH6xNLFHX9dTvwAu098Pg/Zoe2Qi7EklWxzsUTfbAgCPA5gF4BNoXuBFAP5ttqEO2FOoH28WgGuhhYTO09dNAPCUOi6A42FyWOqwPefo6+rp//sAOACgtc3n42pPqvzFM+ZeDeB7AH8CsA3A+YCRu8pElMXMxQB+AXCe+YP6uninPKWFPbpNq6CJarG+aIG+DSXInlSyxdEeZi5n5tsB/AXAa8x8JoB1APooG+qIPYcDmMPMJzLzSwBuAXCzvu4dAD2J6BT9uHsAtIb2BFaX7VFZLdVElM3MywF8AO3mAzKNgE2APSlBjcSdiC4jomFE1JSZqwD8F1oMcg2AIiI6Qt8ui5n9emfGWgAHzfuJV+Omqz06/wNwv96LfxGAvgB2x8ueVLIlAnuOMtvDzEuY+VP97UkA5qpshwy3ZzgRNYB2g31DX54NYAWA5fqmS6GlDT5FRN0AnAztRpxbx+1Zqr8nAKwf+2oAlxPRPgADKPEDpJJK1HOo6o3VBlq8yg/gd2jxxpuYebe+TXdoQ3ormfkRfZkS1CcBlDPzvXH5AultTxUzP6wvqw8tg6cVtFjhjcy8IlNsicEe47fSlx8F4D/Qcp/HMfPvdc0e3QP1EdGfAJzFzBeYPns7tGHyPQFcw8wrxZ4gezoBeBJACwA3MPOymtqT8kQTw0Ggl/kIAG/pr3OgpYd9ZNn2HGi9zt2gdcY11JdTNMesA/Z0h96Jo2/bJtNsqeFvpTKbWiCO1fnSzJ6PLdu8AeAC/XUb0z7qiT0h9hTq/5sCGBwve9LhL6J67nr44iEA2UQ0DUBj6KPHmNlLRDcC2EZEw1ir6gZmnkpEvQB8Da0jagSAlay3dE3IMHu+AlBARCNY8252ZIotcbDna92ek1h7cvhB7AEAlAPYQNrgnDFENIqZi5m5WuyxtecMZt4MYF5N7UkrIrhjDgOwGMCLAK6B1iM9CsBmmO6EAK4DMMP0/nxosexXALSK191I7EkPW8SexNgDLUxWCa1y4lPQPVOxJ/H2pNtfJA18AoBLTe9f0BtzLIAF+rIsaLGw9wF0MX3uhLgbLPakhS1iT0Ls6QQtM+QpmFJTxZ7asSfd/iJp4AYA8hCIZ/0RwGP660UAxuuvi6CPTkuowWJPWtgi9sTdnnfFnuTak25/YVOBmLmCmas4UO/hVAAl+usrAPQioi+g5bcuDLe/miL2pIctYk/c7VkAJLbUrNiTWUQ8QbaeP8rQBiR8pi8ugzbcty+ADcy8Ne4Wij1pbYvYE197WHdVxZ7k2ZMuRJPE74c2EGE3gP76HfNeAH5mnl2bF4PYk1a2iD1iT6bZkx5EE8MBMARaQ88GcFWyY0piT3rYIvaIPZlmTzr8RTVClYg6ALgUwBOsDdFOKmJPetgi9og9mWZPOhB1+QFBEAQh9cnowjmCIAh1FRF3QRCEDETEXRAEIQMRcRcEQchARNwFQRAyEBF3oU5CRD4iWkREy4loMRHdTGFm5iGizkR0SW3ZKAg1QcRdqKscYuaBzNwHWs2SMwDcH+YznQGIuAtpgeS5C3USIipn5gLT+64AfgXQElrp2DehTeEGAH9h5p+IaC6AXgA2AHgdwDPQJlweDq164fPM/HKtfQlBcEHEXaiTWMVdX7YP2pyfZdDqllTqc6i+w8xFRDQcwK3MfKa+/Thok3c8QkR5AOYAOJ+ZN9TmdxEEOyKuCikIdQBVLjYXwHNENBDalG5HOGw/Elohq/P0902gzUMr4i4kHRF3QYARlvEB2AUt9r4TwABo/VKVTh+DNmHE9FoxUhCiQDpUhToPERUCeAnAc6zFKZsA2M7MfmjFqrL1TcsANDJ9dDqA64goV9/PEUTUEIKQAojnLtRV6hPRImghGC+0DtQn9HUvAPiIiM4HMAPa5NgAsASAl4gWA5gM4GloGTQL9RmASgD8X+2YLwjuSIeqIAhCBiJhGUEQhAxExF0QBCEDEXEXBEHIQETcBUEQMhARd0EQhAxExF0QBCEDEXEXBEHIQP4fmxhMZ0+l4wIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(8):\n",
    "    data3.iloc[:,i:i+1].plot(kind='line') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=#A64646 size=2> **大家是不是觉得for循环语句非常实用呢？快动手试试吧！**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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